Learning Temporal Causal Structure
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Learning Temporal Causal Structure via Smooth Differentiable Optimization
arXiv:2606.03227v1 Announce Type: new Abstract: Causal discovery with instantaneous effects in multivariate time series is challenging, as the instantaneous structure must be acyclic. Prior methods enforce this by either separating instantaneous and lagged estimation into multi-stage pipelines or imposing algebraic acyclicity constraints via complex augmented Lagrangian optimization, both of which incur high computational cost.
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
arXiv:2501.12500v3 Announce Type: replace Abstract: Understanding climate dynamics requires going beyond correlations in observational data to uncover the underlying causal process. Latent drivers such as atmospheric processes play a central role in temporal dynamics, while direct causal influences also exist among geographically proximate observed variables. Traditional Causal Representation Learning (CRL) typically focuses on latent factors but overlooks such observable-to-observable...
Trio: Learning Time-Series Forecasting with Temporal-Spatial-Sample Attention and Structural Causal Priors
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From Causal Discovery to Dynamic Causal Inference in Neural Time Series
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arXiv:2606.04421v2 Announce Type: replace Abstract: Many current agentic systems and LLM pipelines correct mistakes by optimizing outcome reward. This addresses only the what of failure: when an outcome diverges from prediction, the why and when of the mismatch are not systematically logged, reviewed, or corrected, so the same error can recur episode after episode. We argue that this is a structural problem, not merely a model-capacity one.
Trivium: Temporal Regret as a First-Class Objective for Causal-Memory Controllers
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BioVid: Autoregressive Video Generation with Biological Behavior Semantic Comprehension
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Your Autoregressive Model Already Reveals the Causal Graph
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VMDNet: Temporal Leakage-Free Variational Mode Decomposition for Electricity Demand Forecasting
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